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Related papers: Valuing Pharmaceutical Drug Innovations

200 papers

We estimate treatment cost-savings from early cancer diagnosis. For breast, lung, prostate and colorectal cancers and melanoma, which account for more than 50% of new incidences projected in 2017, we combine published cancer treatment cost…

Tissues and Organs · Quantitative Biology 2019-04-03 Zura Kakushadze , Rakesh Raghubanshi , Willie Yu

Anti-doping programs rely on biological testing to detect performance-enhancing drugs, but such testing costs over $800 per sample and is limited by short detection windows for many prohibited substances. These constraints leave large…

Machine Learning · Computer Science 2026-04-27 Blessed Madukoma , Prasenjit Mitra

The drug development process is a critical challenge in the pharmaceutical industry due to its time-consuming nature and the need to discover new drug potentials to address various ailments. The initial step in drug development, drug target…

Quantitative Methods · Quantitative Biology 2024-12-17 Hezha O. Rasul , Dlzar D. Ghafour , Bakhtyar K. Aziz , Bryar A. Hassan , Tarik A. Rashid , Arif Kivrak

The idea that research investments respond to market rewards is well established in the literature on markets for innovation (Schmookler, 1966; Acemoglu and Linn, 2004; Bryan and Williams, 2021). Empirical evidence tells us that a change in…

General Economics · Economics 2021-12-01 Federico Nutarelli , Massimo Riccaboni , Andrea Morescalchi

Research and Development is the largest budget position in the pharmaceutical industry, with clinical trials being a critical, yet costly and time-consuming component to inform decisions. Beyond drug efficacy, the probability of success and…

A statistical description and model of individual healthcare expenditures in the US has been developed for measuring value in healthcare. We find evidence that healthcare expenditures are quantifiable as an infusion-diffusion process, which…

Physics and Society · Physics 2009-01-22 Christopher Gardner

Drug discovery remains a slow and expensive process that involves many steps, from detecting the target structure to obtaining approval from the Food and Drug Administration (FDA), and is often riddled with safety concerns. Accurate…

Quantitative Methods · Quantitative Biology 2025-08-22 Ali Vefghi , Zahed Rahmati , Mohammad Akbari

Drug discovery is adapting to novel technologies such as data science, informatics, and artificial intelligence (AI) to accelerate effective treatment development while reducing costs and animal experiments. AI is transforming drug…

Artificial Intelligence · Computer Science 2023-07-14 Catrin Hasselgren , Tudor I. Oprea

People increasingly turn to the Internet when they have a medical condition. The data they create during this process is a valuable source for medical research and for future health services. However, utilizing these data could come at a…

Computer Science and Game Theory · Computer Science 2020-03-24 Gilie Gefen , Omer Ben-Porat , Moshe Tennenholtz , Elad Yom-Tov

Despite considerable progress in genome- and proteome-based high-throughput screening methods and in rational drug design, the increase in approved drugs in the past decade did not match the increase of drug development costs. Network…

Molecular Networks · Quantitative Biology 2013-05-14 Peter Csermely , Tamas Korcsmaros , Huba J. M. Kiss , Gabor London , Ruth Nussinov

Performing company valuations within the domain of biotechnology, pharmacy and medical technology is a challenging task, especially when considering the unique set of risks biotech start-ups face when entering new markets. Companies…

Information Retrieval · Computer Science 2020-10-20 Albert Weichselbraun , Philipp Kuntschik , Sandro Hörler

Development of new medications is a very lengthy and costly process. Finding novel indications for existing drugs, or drug repositioning, can serve as a useful strategy to shorten the development cycle. In this study, we present an approach…

Genomics · Quantitative Biology 2017-12-13 Kai Zhao , Hon-Cheong So

The study of competition among brands in a common category is an interesting strategic issue for involved firms. Sales monitoring and prediction of competitors' performance represent relevant tools for management. In the pharmaceutical…

Applications · Statistics 2016-02-10 Renato Guseo , Cinzia Mortarino

This paper studies reputation in the online market for illegal drugs in which no legal institutions exist to alleviate uncertainty. Trade takes place on platforms that offer rating systems for sellers, thereby providing an observable…

General Economics · Economics 2021-07-26 Nicolas Eschenbaum , Helge Liebert

Identifying subgroups, which respond differently to a treatment, both in terms of efficacy and safety, is an important part of drug development. A well-known challenge in exploratory subgroup analyses is the small sample size in the…

Computation · Statistics 2016-06-28 Marius Thomas , Björn Bornkamp

Cancer claims millions of lives yearly worldwide. While many therapies have been made available in recent years, by in large cancer remains unsolved. Exploiting computational predictive models to study and treat cancer holds great promise…

Quantitative Methods · Quantitative Biology 2022-11-22 Alexander Partin , Thomas S. Brettin , Yitan Zhu , Oleksandr Narykov , Austin Clyde , Jamie Overbeek , Rick L. Stevens

Accurate estimation of healthcare costs is crucial for healthcare systems to plan and effectively negotiate with insurance companies regarding the coverage of patient-care costs. Greater accuracy in estimating healthcare costs would provide…

Machine Learning · Computer Science 2022-06-02 Alex Taylor , Ross Kleiman , Scott Hebbring , Peggy Peissig , David Page

Using tools from spectral analysis, singular and regular perturbation theory, we develop a systematic method for analytically computing the approximate price of a derivative-asset. The payoff of the derivative-asset may be path-dependent.…

Computational Finance · Quantitative Finance 2012-04-09 Matthew Lorig

Characterizing interactions between drugs is important to avoid potentially harmful combinations, to reduce off-target effects of treatments and to fight antibiotic resistant pathogens, among others. Here we present a network inference…

Molecular Networks · Quantitative Biology 2014-11-07 Roger Guimera , Marta Sales-Pardo

The appearance of a new dangerous and contagious disease requires the development of a drug therapy faster than what is foreseen by usual mechanisms. Many drug therapy developments consist in investigating through different clinical trials…

Quantitative Methods · Quantitative Biology 2020-03-31 Ezequiel Alvarez , Federico Lamagna , Manuel Szewc